Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
multilingual
Size:
1B - 10B
ArXiv:
License:
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[Paper](https://huggingface.co/papers/2511.16397) | [Project page](https://opendatalab.com/ai-ready/AICC)
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AICC (AI-ready Common Crawl) is a large-scale, **AI-ready web dataset** derived from **Common Crawl**, containing semantically extracted **Markdown-formatted** main content from diverse web pages. The dataset is constructed using the **MinerU-HTML**, a web extraction pipeline developed by OpenDataLab.
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- **High-quality main content:** High-fidelity main content extracted from diverse Common Crawl pages, including challenging types like forums, Q&A sites, and pages with tables or formulas.
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- **Precise structured elements:** High-fidelity extraction of code blocks, mathematical formulas, and complex tables from real-world web pages, preserving syntax, formatting, and structural integrity.
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[Paper](https://huggingface.co/papers/2511.16397) | [Project page](https://opendatalab.com/ai-ready/AICC)
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<img src="./images/AICC_HF_LOGO.png" width="600" />
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AICC (AI-ready Common Crawl) is a large-scale, **AI-ready web dataset** derived from **Common Crawl**, containing semantically extracted **Markdown-formatted** main content from diverse web pages. The dataset is constructed using the **MinerU-HTML**, a web extraction pipeline developed by OpenDataLab.
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- **High-quality main content:** High-fidelity main content extracted from diverse Common Crawl pages, including challenging types like forums, Q&A sites, and pages with tables or formulas.
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- **Precise structured elements:** High-fidelity extraction of code blocks, mathematical formulas, and complex tables from real-world web pages, preserving syntax, formatting, and structural integrity.
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